Relevant bibliographies by topics / Multi-agent systems Product Lines engineering

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
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Academic literature on the topic 'Multi-agent systems Product Lines engineering'

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Published: 4 May 2024

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Journal articles on the topic "Multi-agent systems Product Lines engineering"

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SARKER, BHABA R., and YI XU. "Designing multi-product lines: job routing in cellular manufacturing systems." IIE Transactions 32, no. 3 (March 2000): 219–35. http://dx.doi.org/10.1080/07408170008963894.

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Ochoa, Lina, Oscar González-Rojas, Nicolás Cardozo, Alvaro González, Jaime Chavarriaga, Rubby Casallas, and Juan Francisco Díaz. "Constraint programming heuristics for configuring optimal products in multi product lines." Information Sciences 474 (February 2019): 33–47. http://dx.doi.org/10.1016/j.ins.2018.09.042.

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Alavian, Pooya, Peter Denno, and Semyon M. Meerkov. "Multi-job production systems: definition, problems, and product-mix performance portrait of serial lines." International Journal of Production Research 55, no. 24 (June 28, 2017): 7276–301. http://dx.doi.org/10.1080/00207543.2017.1338779.

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Kaynarkaya, Sena, and Gülen Çağdaş. "Evaluation of Metro Lines with Swarm Intelligence Approach." Journal of Information Technology in Construction 27 (August 24, 2022): 802–26. http://dx.doi.org/10.36680/j.itcon.2022.039.

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Metro lines, which have become one of the most important transportation routes for today's cities, require long design and implementation processes. Their design load is mostly due to detailed engineering calculations, have to expand to meet the needs of the ever-increasing population. The behavior of slime moulds to find the shortest path they use to reach the food source has inspired models created specifically to test the accuracy of highway routes. The hypothesis of this study is that the swarm behavior of slime moulds and the routes they follow may produce the same or similar results as the existing metro lines. In this research, an answer was sought to the question of whether a metro line designed with an approach based on swarm intelligence could be compatible with the existing line. The paper aims to develop a model that guides the design processes of metro lines by using swarm intelligence and shortest path finding strategies of slime moulds in a computational model. In the model, slime moulds were represented by multi-agent systems. The metro route was produced by the model using the station locations on an existing metro line selected as the study area. The agent-based simulation model was developed in the Grasshopper Physarealm plug-in environment. In the first stage of the model, a numerical model was created using the data and parameters of an existing metro line. In the second stage, the simulation was carried out to create a new route by preserving only the station locations of the existing metro line. Finally, the existing metro route and the route developed with the simulation model based on the intelligent agent behaviour in the digital environment were compared by overlapping. The results show that the route created by slime moulds only to reach the food is almost the same as the currently designed metro line. Topography data is ignored in the model. It is seen that the model developed by using metro design criteria is an important decision support aid for designers in determining metro routes.
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Miqueo, Adrian, Marcos Gracia-Cadarso, Marta Torralba, Francisco Gil-Vilda, and José Antonio Yagüe-Fabra. "Multi-Model In-Plant Logistics Using Milkruns for Flexible Assembly Systems under Disturbances: An Industry Study Case." Machines 11, no. 1 (January 5, 2023): 66. http://dx.doi.org/10.3390/machines11010066.

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Mass customisation demand requires increasingly flexible assembly operations. For the in-plant logistics of such systems, milkrun trains could present advantages under high variability conditions. This article uses an industrial study case from a global white-goods manufacturing company. A discrete events simulation model was developed to explore the performance of multi-model assembly lines using a set of operational and logistics Key Performance Indicators. Four simulation scenarios analyse the separate effects of an increased number of product models and three different sources of variability. The results show that milkruns can protect the assembly lines from upstream process disturbances.
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Dhouib, K., A. Gharbi, and N. Landolsi. "Availability modelling and analysis of multi-product flexible transfer lines subject to random failures." International Journal of Advanced Manufacturing Technology 50, no. 1-4 (January 20, 2010): 329–41. http://dx.doi.org/10.1007/s00170-009-2487-8.

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Farahani, Elham Darmanaki, and Jafar Habibi. "Configuration Management Model in Evolutionary Software Product Line." International Journal of Software Engineering and Knowledge Engineering 26, no. 03 (April 2016): 433–55. http://dx.doi.org/10.1142/s0218194016500182.

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In Software Product Line (SPL), Configuration Management (CM) is a multi-dimensional problem. On the one hand, the Core Assets that constitute a configuration need to be managed, and on the other hand, each product in the product line that is built using a configuration must be managed, and furthermore, the management of all these configurations must be coordinated under a single process. Therefore, CM for product lines is more complex than for single systems. The CM of any software system involves four closely related activities: Change Management (ChM), Version Management (VM), System Building (SB) and Release Management (RM) [I. Sommerville, Software Engineering, 9th edn. (Addison-Wesley, 2010)]. The aim of this paper is to provide ChM and VM models for evolutionary-based SPL system development and maintenance. The proposed models support any level of aggregation in SPLs and have been applied to Mobile SPL as a case study.
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Qin, Yi. "Integrated, multidisciplinary approaches for micro-manufacturing research, and new opportunities and challenges to micro-manufacturing." Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems 232, no. 1 (January 3, 2018): 5–21. http://dx.doi.org/10.1177/2397791417750350.

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Increased demands on micro-products and miniaturised systems/devices have been a main driver to the rapid growth of the interest in research in micro- and nano-manufacturing. Currently, micro-manufacturing research is bridging ‘nano-manufacturing’ and ‘macro-manufacturing’ and hence, helping to transform nanotechnology into real-world and affordable products, for which it is developing multi-length scale and multi-materials manufacturing capabilities. It is also playing more roles in helping transforming traditional industry and products to more competitive ones. Nevertheless, besides being shifted from ‘process focus’ to ‘market/product’ driven research and technological developments addressing production capability, product quality, pilot production lines and sustainability, there is clearly a need for micro-manufacturing research to adopt integrated, multidisciplinary approaches to address development-related issues concurrently, in order to shorten the development cycles for product realisation. It is believed that to transfer laboratory processes to industrial applications within much shorter timescales, the associated issues should be addressed with collaborations among different, relevant disciplines. European Union–funded integrated projects have demonstrated such efforts. Product development–centred approaches brought in expertise and resources in product design, material, analysis, testing, tools, machines, automation and manufacturing system integration as well as in life-cycle engineering to address the development needs. At the same time, due to ever updated interests in new products and enabling manufacturing technologies with a view to meeting increased demands from, for example, healthcare, on quality of life, for wealth creation, social engagement and sustainable development, there are new challenges to micro- and nano-manufacturing research, which also suggest tremendous opportunities.
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Tremblet, David, Abdelkrim R. Yelles-Chaouche, Evgeny Gurevsky, Nadjib Brahimi, and Alexandre Dolgui. "Optimizing task reassignments for reconfigurable multi-model assembly lines with unknown order of product arrival." Journal of Manufacturing Systems 67 (April 2023): 190–200. http://dx.doi.org/10.1016/j.jmsy.2023.02.001.

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Ruppert, Tamas, and Janos Abonyi. "Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines." Sensors 18, no. 7 (July 19, 2018): 2346. http://dx.doi.org/10.3390/s18072346.

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Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming the industrial workforce to accommodate the ever-increasing variability of production. Real-time operator support and performance monitoring require accurate information on the activities of operators. The problem with tracing hundreds of activity times is critical due to the enormous variability and complexity of products. To handle this problem a software-sensor-based activity-time and performance measurement system is proposed. To ensure a real-time connection between operator performance and varying product complexity, fixture sensors and an indoor positioning system (IPS) were designed and this multi sensor data merged with product-relevant information. The proposed model-based performance monitoring system tracks the recursively estimated parameters of the activity-time estimation model. As the estimation problem can be ill-conditioned and poor raw sensor data can result in unrealistic parameter estimates, constraints were introduced into the parameter-estimation algorithm to increase the robustness of the software sensor. The applicability of the proposed methodology is demonstrated on a well-documented benchmark problem of a wire harness manufacturing process. The fully reproducible and realistic simulation study confirms that the indoor positioning system-based integration of primary sensor signals and product-relevant information can be efficiently utilized in terms of the constrained recursive estimation of the operator activity.
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Dissertations / Theses on the topic "Multi-agent systems Product Lines engineering"

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Boufedji, Dounia. "Vers une approche d’ingénierie multi-agents à base de lignes de produits logiciels." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS438.

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Les Systèmes Multi-Agents (SMA) représentent une solution idéale qui a fait ses preuves pour la modélisation de systèmes complexes. L’ingénierie des SMA offre différentes méthodologies, méta-modèles, templates et patrons de réutilisation qui facilitent leur développement et accélère leur acceptation au sein de l’industrie du logiciel. Cependant, les approches existantes de l’ingénierie des SMA ne permettent pas la gestion et le développement d’applications similaires dites familles de SMA. Ces applications présentent des points communs, et des différences appelées variabilité. La gestion de la variabilité peut se faire à différents niveaux (conception, développement et autre), sauf qu’elle n’est pas prise en considération dans les approches existantes. Afin de pallier à la non gestion de variabilité au sein des familles multi-agents au niveau des approches orientées agents, l’ingénierie de Lignes de Produits logiciels s’avère être la solution idoine pour laquelle la gestion de la variabilité reste un élément clé. Dans ce contexte, l’exploitation des techniques d’ingénierie de LdPL dans le cadre d’approches multi-agents est connue sous l’appellation d’ingénierie MAS-PL (Multi-agent systems Product Lines). Le présent sujet de thèse s’inscrit dans cette thématique d’approches MAS-PL afin d’améliorer la gestion de la variabilité au sein de familles de SMA, et par conséquent rendre meilleurs les aspects de réutilisation s’articulant autour de la variabilité. Notre approche repose sur le processus général des LdPL, repousse les limites des approches MAS-PL actuelles. L’originalité de notre approche est qu’elle permet une réutilisation indépendante du domaine d’application
Multi-Agent Systems represent an ideal solution that has already proved positive for the modelling of complex systems. The AOSE (Agent Oriented Software Engineering) offers different methodologies, meta-models, templates and reuse patterns that facilitate their development and accelerate their acceptance within the software industry. However, the existing approaches to MAS engineering do not allow the management and development of similar applications known as MAS families. These applications have some commonalities, as well as differences called variability. The management of variability can be done at different levels such as design and development, except that it is not taken into account in existing approaches. In order to compensate for the lack of variability management within multi-agent families at the level of agent-oriented approaches, SPL (Software Product Lines) engineering turns out to be the appropriate solution for which the management of variability remains a key element. In this context, the exploitation of SPL engineering techniques within the framework of multi-agent approaches is known as Multi-agent systems Product Lines engineering. This thesis subject is part of this thematic of MAS-PL approaches meant to enhance the management of variability within families of MAS; what, consequently, improves the aspects of reuse revolving around variability. This is how our approach, which is based on the general SPL process, in favour of an improvement, pushes the limits of current MAS-PL approaches
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Romanovski, Iakov. "Multi-agent product systems : analysis, synthesis and control." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84427.

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This thesis presents new approach to the supervisory control of complex systems modelled as Multi-Agent (MA) products of finite deterministic automata.
First, the centralized supervisory control problem for the MA product is considered. This differs from the standard approach to supervisory control since (i) vector languages are under consideration and (ii) each supervisor can disable only one particular component of a vector event. The notion of MA controllability is introduced and is shown to essentially constitute a necessary and sufficient condition for the synthesis of an MA supervisor. In the case when a given vector language K fails to be MA controllable, an algorithm for finding the infimal MA controllable superlanguage of K is presented. It is also shown that there exists, with respect to the inclusion partial order, a maximal MA controllable sublanguage of K. The results constitute a natural extension of the central classical supervisory control results for scalar systems to the more general MA product system case.
Second, the controllability properties of component structures are investigated. It is proved that the property of MA controllability is preserved under iterative MA product construction. Moreover, it is proved that in this case the MA product of supervisors of subsystems ensures the desired behaviour of the MA product of specifications for the iterative MA product. Several examples illustrate that neither standard controllability nor the second property of MA controllability, so-called MAC2, are preserved under projection operation. However, a sufficient condition for the standard controllability of a component in terms of the original vector specification and the MA product is given. The equality of the vector specification projected on the set of some components of an original MA product and an MA product of the projections on the corresponding components is shown to be a necessary and sufficient condition for the projected specification having MAC2 property. Furthermore, a special class of specifications, namely, state trajectory specifications, for both scalar and vector automata is considered and conditions for the embedding of two specifications are presented.
Third, the notion of the Graph-Relation MA product is introduced. Through this construction, we modify the connection of supervisors and vector system under consideration, and prove that the property of MA controllably remains the necessary and sufficient condition for the existence of a solution to the supervisory control problem. Next, an initial investigation on the MA product under partial observation is presented. The notions of MA observability and MA co-observability are formulated and it is shown that they play a key role in the solution of decentralized supervisory control problems for the MA product. Furthermore, applications to hybrid systems are explored.
Finally, a line of further research on centralized and decentralized MA product is mapped out, as well as complexity studies and the generation of MA software.
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NUNES, CAMILA PATRICIA BAZILIO. "MODULARITY AND STABILITY ASSESSMENT OF IMPLEMENTATION TECHNIQUES FOR MULTI-AGENT SYSTEMS PRODUCT LINES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=31445@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Uma Linha de Produtos de Sistemas Multi-agentes (LP-SMA) define uma arquitetura de linha de produto de software (LPS) cujo projeto e implementação são realizados usando agentes de software para compreender features comuns e variáveis. O desenvolvimento de LP-SMA pode ser feito através de plataformas específicas de SMA e técnicas de implementação. Exemplos de tais técnicas são: frameworks orientados a objetos, compilação condicional, arquivos de configuração e programação orientada a aspectos (POA). Todavia, os estudos empíricos existentes não focam na abordagem de LP-SMA, considerando diferentes técnicas de implementação e plataformas específicas de desenvolvimento de SMA. Nesse contexto, este trabalho apresenta uma comparação sistemática de diferentes técnicas de implementação de variabilidades de features de agentes no domínio de LP-SMA. Esta comparação sistemática envolveu o uso de duas plataformas de desenvolvimento de SMA (JADE e Jadex) e das técnicas de implementação: compilação condicional, arquivos de configuração e POA. Neste estudo, um conjunto de métricas de software foram utilizadas para avaliar atributos de qualidade, tais como modularidade e estabilidade. Para a realização deste estudo, duas LP-SMAs foram desenvolvidas. A primeira foi a LP-SMA do Expert Committee, uma linha de produto de sistemas de gerenciamento de conferências. A segunda foi a LP-SMA OLIS, que provê diversos serviços pessoais para os usuários. Os dados coletados durante a realização dos estudos empíricos permitiram o relato de um conjunto de lições aprendidas.
A Multi-agent System Product Line (MAS-PL) defines a Software Product Line (SPL) architecture whose design and implementation are accomplished using software agents to address its common and variable features. The MAS-PL development can be performed through MAS specific platforms and implementation techniques. Examples of such techniques are: object-oriented frameworks, conditional compilation, configuration files and aspect-oriented programming (AOP). However, the existing empirical studies do not focus on MAS-PL approach, considering different implementation techniques and MAS specific platforms. In this context, this work presents a systematic comparison of different variability implementation techniques of agent features in the MAS-PL domain. This systematic comparison involved the use of two platforms of MAS development (JADE and Jadex) and implementation techniques conditional compilation, configuration files and AOP. In this study, a suite of software metries were used to evaluate quality attributes, such as modularity and stability. In order to perform this study, two MAS-PLs were developed. The first one was the Expert Commitee MAS-PL, a product line of conference management systems. The second one as the OLIS MAS-PL, which provides several personal services to the users. The collected data during the accomplished empirical studies allowed to report a set of lessons learned.
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Dehlinger, Joshua Jon. "Incorporating product-line engineering techniques into agent-oriented software engineering for efficiently building safety-critical, multi-agent systems." [Ames, Iowa : Iowa State University], 2007.

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Oesterle, Jonathan. "Holistic approach to designing hybrid assembly lines A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives Hybrid Multi-objective Optimization Method for Solving Simultaneously the line Balancing, Equipment and Buffer Sizing Problems for Hybrid Assembly Systems Comparison of Multiobjective Algorithms for the Assembly Line Balancing Design Problem Efficient multi-objective optimization method for the mixed-model-line assembly line design problem Detaillierungsgrad von Simulationsmodellen Rechnergestützte Austaktung einer Mixed-Model Line. Der Weg zur optimalen Austaktung." Thesis, Troyes, 2017. http://www.theses.fr/2017TROY0012.

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Le travail présenté dans cette thèse concerne la formulation et la résolution de deux problèmes d'optimisation multi-objectifs. Ces problèmes de décision, liés à une approche holistique, ont pour but de sélectionner la meilleure configuration « produit/ligne d’assemblage » à partir d'un ensemble de design produits, et de ressources. Concernant le premier problème, un modèle de coût a été développé afin de traduire les interdépendances complexes entre la sélection d’un design produit et les caractéristiques des ressources. Une étude empirique est proposée et vise à comparer, selon plusieurs indicateurs de qualité multi-objectifs, différentes méthodes de résolution - comprenant des algorithmes génétiques, de colonies de fourmis, d’optimisation par essaims particulaires, des chauves-souris, de recherche du coucou et de pollinisation des fleurs. Plusieurs règles de dominance et une recherche locale spécifique au problème ont été appliquées aux méthodes de résolution les plus prometteuses. Concernant le second problème, qui se penche également sur le dimensionnement des stocks tampons, les méthodes de résolution sont à un modèle de simulation à événements discrets, dont la fonction première est l’évaluation des valeurs des différentes fonctions objectives. L’approche holistique associée aux deux problèmes a été validée avec deux cas industriels
The work presented in this thesis concerns the formulation and the resolution of two holistic multi-objective optimization problems associated with the selection of the best product and hybrid assembly line configuration out of a set of products, processes and resources alternatives. Regarding the first problem, a cost model was developed in order to translate the complex interdependencies between the selection of specific product designs, processes and resources characteristics. An empirical study is proposed, which aimed at comparing, according to several multi-objective quality indicators, various resolution methods – including variants of evolutionary algorithms, ant colony optimization, particle swarm optimization, bat algorithms, cuckoo search algorithms, and flower-pollination algorithms. Several dominance rules and a problem-specific local search were applied to the most promising resolution methods. Regarding the second problem, which also considers the buffer sizing, the developed algorithms were enhanced with a genetic discrete-event simulation model, whose primary function is to evaluate the value of the various objective functions. The demonstration of the associated resolution frameworks for both problems was validated through two industrial-cases
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Efatmaneshnik, Mahmoud Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Towards immunization of complex engineered systems: products, processes and organizations." Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/43358.

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Engineering complex systems and New Product Development (NPD) are major challenges for contemporary engineering design and must be studied at three levels of: Products, Processes and Organizations (PPO). The science of complexity indicates that complex systems share a common characteristic: they are robust yet fragile. Complex and large scale systems are robust in the face of many uncertainties and variations; however, they can collapse, when facing certain conditions. This is so since complex systems embody many subtle, intricate and nonlinear interactions. If formal modelling exercises with available computational approaches are not able to assist designers to arrive at accurate predictions, then how can we immunize our large scale and complex systems against sudden catastrophic collapse? This thesis is an investigation into complex product design. We tackle the issue first by introducing a template and/or design methodology for complex product design. This template is an integrated product design scheme which embodies and combines elements of both design theory and organization theory; in particular distributed (spatial and temporal) problem solving and adaptive team formation are brought together. This design methodology harnesses emergence and innovation through the incorporation of massive amount of numerical simulations which determines the problem structure as well as the solution space characteristics. Within the context of this design methodology three design methods based on measures of complexity are presented. Complexity measures generally reflect holistic structural characteristics of systems. At the levels of PPO, correspondingly, the Immunity Index (global modal robustness) as an objective function for solutions, the real complexity of decompositions, and the cognitive complexity of a design system are introduced These three measures are helpful in immunizing the complex PPO from chaos and catastrophic failure. In the end, a conceptual decision support system (DSS) for complex NPD based on the presented design template and the complexity measures is introduced. This support system (IMMUNE) is represented by a Multi Agent Blackboard System, and has the dual characteristic of the distributed problem solving environments and yet reflecting the centralized viewpoint to process monitoring. In other words IMMUNE advocates autonomous problem solving (design) agents that is the necessary attribute of innovative design organizations and/or innovation networks; and at the same time it promotes coherence in the design system that is usually seen in centralized systems.
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Douglas, Robert E. Jr. "SNEAKERS: A Concurrent Engineering Demonstration System." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/1080.

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"Concurrent Engineering (CE) has already initiated a cultural change in the design and manufacturing of new products. It is expected to lead to better engineered and faster built products. But, in order for a company to take advantage of the power of CE, the members of product development teams have to be educated in the CE method of product development and how decisions made about one aspect of a design can affect other aspects. They also have to be educated in the usefulness of the tools that can be used for CE. Those tools include intelligent agents which can be used to offer design suggestions and criticisms. The goal of this project is to build a computer system which will simulate a design environment and demonstrate the essential aspects of CE, in a way that they can be intuitively understood. It is supported by a grant from the Competitive Product Development Institute at the Digital Equipment Corporation."
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Daley, John E. "Autonomic Product Development Process Automation." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/965.

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Market globalization and mass customization requirements are forcing companies towards automation of their product development processes. Many task-specific software solutions provide localized automation. Coordinating these local solutions to automate higher-level processes requires significant software maintenance costs due to the incompatibility of the software tools and the dynamic nature of the product development environment. Current automation methods do not provide the required level of flexibility to operate in this dynamic environment. An autonomic product development process automation strategy is proposed in order to provide a flexible, standardized approach to product development process automation and to significantly reduce the software maintenance costs associated with traditional automation methods. Key elements of the strategy include a formal approach to decompose product development processes into services, a method to describe functional and quality attributes of services, a process modeling algorithm to configure processes composed of services, a method to evaluate process utility based on quality metrics and user preferences, and an implementation that allows a user to instantiate the optimal process. Because the framework allows a user to rapidly reconfigure and select optimal processes as new services are introduced or as requirements change, the framework should reduce burdensome software maintenance costs associated with traditional automation methods and provide a more flexible approach.
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Karpowitz, Daniel J. "A Dynamic Workflow Framework for Mass Customization Using Web Service and Autonomous Agent Technologies." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1647.pdf.

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Book chapters on the topic "Multi-agent systems Product Lines engineering"

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Klambauer, Thomas, Gerald Holl, and Paul Grünbacher. "Monitoring System-of-Systems Requirements in Multi Product Lines." In Requirements Engineering: Foundation for Software Quality, 379–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37422-7_27.

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Nunes, Ingrid, Carlos J. P. de Lucena, Uirá Kulesza, and Camila Nunes. "On the Development of Multi-agent Systems Product Lines: A Domain Engineering Process." In Lecture Notes in Computer Science, 125–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19208-1_9.

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Peña, Joaquín. "Can Agent Oriented Software Engineering Be Used to Build MASs Product Lines?" In Innovative Concepts for Autonomic and Agent-Based Systems, 98–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11964995_9.

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Galasso, Jessie, and Marianne Huchard. "Extending Boolean Variability Relationship Extraction to Multi-valued Software Descriptions." In Handbook of Re-Engineering Software Intensive Systems into Software Product Lines, 143–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11686-5_6.

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Boufedji, Dounia, Zahia Guessoum, Anarosa Brandão, Tewfik Ziadi, and Aicha Mokhtari. "Towards a MAS Product Line Engineering Approach." In Engineering Multi-Agent Systems, 161–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91899-0_10.

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Casare, Sara, Tewfik Ziadi, Anarosa A. F. Brandão, and Zahia Guessoum. "An Automated Approach to Manage MAS-Product Line Methods." In Engineering Multi-Agent Systems, 180–97. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91899-0_11.

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Nunes, Ingrid, Uirá Kulesza, Camila Nunes, Carlos J. P. de Lucena, and Elder Cirilo. "A Domain Analysis Approach for Multi-agent Systems Product Lines." In Enterprise Information Systems, 716–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01347-8_59.

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Dehlinger, Josh, and Robyn R. Lutz. "A Product-Line Approach to Promote Asset Reuse in Multi-agent Systems." In Software Engineering for Multi-Agent Systems IV, 161–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11738817_10.

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d’Aloisio, Giordano, Antinisca Di Marco, and Giovanni Stilo. "Democratizing Quality-Based Machine Learning Development through Extended Feature Models." In Fundamental Approaches to Software Engineering, 88–110. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30826-0_5.

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AbstractML systems have become an essential tool for experts of many domains, data scientists and researchers, allowing them to find answers to many complex business questions starting from raw datasets. Nevertheless, the development of ML systems able to satisfy the stakeholders’ needs requires an appropriate amount of knowledge about the ML domain. Over the years, several solutions have been proposed to automate the development of ML systems. However, an approach taking into account the new quality concerns needed by ML systems (like fairness, interpretability, privacy, and others) is still missing.In this paper, we propose a new engineering approach for the quality-based development of ML systems by realizing a workflow formalized as a Software Product Line through Extended Feature Models to generate an ML System satisfying the required quality constraints. The proposed approach leverages an experimental environment that applies all the settings to enhance a given Quality Attribute, and selects the best one. The experimental environment is general and can be used for future quality methods’ evaluations. Finally, we demonstrate the usefulness of our approach in the context of multi-class classification problem and fairness quality attribute.
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Holmes, R. Chadwick, Zhao Zhang, Sandra Saldaña, Brad Mallison, and Jason Francis. "Systems Engineering for Innovation Portfolio Management in the Energy Industry." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220647.

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The establishment of development pipelines for innovative technologies is a familiar aspect of digital transformation within the energy industry. One variant relies on innovation teams to rapidly prototype ideas as Proofs-of-Concept (POC) that, when successful, are matured and commercialized as new technical solutions within product lines. However, as the number of ideas grows, diversity of in-scope energy systems broadens, and resources remain constrained, identifying the highest-value ideas aligned with innovation goals and enterprise strategy has become paramount. We outline a prioritization and selection (PAS) approach founded on systems engineering (SE) to manage the work progressed within an innovation team. Specifically, we adapt the tradespace methodology for design selection when stakeholder needs and project constraints create a multi-objective optimization problem. The assessment combines a rigorous stakeholder analysis and surveys to characterize a multi-attribute utility function measuring POC benefit. POC resources are estimated from anticipated duration, development needs, validation requirements, and process change required by the technical solutions. These metrics characterize cost-benefit trade-offs, complemented by innovation measures associated with each POC. The final end-to-end workflow enables innovation idea comparisons with a dashboard to guide POC selection, portfolio shaping, and work prioritization across multiple energy disciplines and industry asset classes.
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Conference papers on the topic "Multi-agent systems Product Lines engineering"

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Cirilo, Elder, Ingrid Nunes, Uirá Kulesza, and Carlos Lucena. "Automating the Product Derivation Process of Multi-agent Systems Product Lines." In 2009 XXIII Brazilian Symposium on Software Engineering (SBES). IEEE, 2009. http://dx.doi.org/10.1109/sbes.2009.26.

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Jamil, Muhammad Abid, Mohamed Kidher Nour, and Normi Sham Awang AbuBakar. "Software Testing Optimization for Large Systems using Agent-Based and NSGA-II Algorithms." In 8th International Conference on Software Engineering. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131204.

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The multiobjective optimization problem is addressed in this article using a novel evolutionary technique to find a global solution in the Pareto form. The proposed work is innovative because it applies an evolutionary multi-agent system (EMAS) and NSGA-II from various traditional evolutionary methods. The evolution process in NSGA-II and EMAS enables thorough exploration of search space, and the employed crowdsourcing mechanism facilitate the accurate approximation of the entire Pareto frontier. The technique is explained in this article, and report the initiatory experimental findings. The product line or large configurable system needs to set specifications, architecture, reusable components, and shared products to develop the features of new products. To maintain high quality, a thorough testing process is required. Testing is necessary for each product of the large system, each of which has a varied set of features. Consequently, a multi-objective optimization technique can be used to optimize the large system testing process. The performance of a multi-objective Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and evolutionary multi-agent system (EMAS) on Feature Models (FMs) to enhance large System testing is reported in this study.
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Buhne, S. "Modeling features for multi-criteria product-lines in the automotive industry." In "Software Engineering for Automotive Systems" Workshop W14S - 26th International Conference on Software Engineering. IEE, 2004. http://dx.doi.org/10.1049/ic:20040334.

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Zhu, Xiaowei, Hui Wang, S. Jack Hu, and Yoram Koren. "Build Sequence Scheduling to Minimize Complexity in Mixed-Model Assembly Lines." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59061.

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Build sequence scheduling is an important topic in mixed-model production. It is to determine the order of products being built in the assembly line. Significant research has been conducted to determine good sequences based on various criteria. For example, in Just-In-Time production systems, optimal sequences are searched to minimize the variation in the rate at which different parts were consumed. This paper discusses the selection of optimal build sequences based on complexity introduced by product variety in mixed-model assembly line. The complexity was defined as the information entropy that operator processes during assembly, which indirectly measures the human performance in making choices, such as selecting parts, tools, fixtures, and assembly procedures in a multi-product, multi-stage, manual assembly environment. In an earlier paper by the authors, a simple version of complexity measure has been developed for i.i.d. (independent identically distributed) sequences. This paper extends the concept and takes into account the sequential dependence of the choices and its impact on build sequence schedules. A model based on Hidden Markov Chain is proposed to model the sequence scheduling problem with the constraints by spacing rules. Methodologies developed in this paper enhance the previous work on modeling complexity, and provide solution strategies for build sequence scheduling to minimize complexity.
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Liu, Yinhua, Xiaolei Hu, and Xiaowei Yue. "Mutual Information-Based Sensing Optimization for In-Process Quality Inspection of Multi-Station Assembly Processes." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10843.

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Abstract To increase productivity and satisfy diverse customer demands, many assembly processes have been converted from single-model lines to flexible assembly lines. Conventional fixed-location sensing approaches cannot be used to inspect a broad mixture of different quality features for multiple product models effectively. The in-process dimensional quality inspection systems with robot-mounted optical gauging have been becoming increasingly popular for flexible multi-station assembly processes. These new systems enable more powerful quality inspection for various designs and provide more flexibility for dimensional monitoring and diagnosis. Meanwhile, they bring new challenges to sensing efficacy and efficiency because in-process cycle time for quality inspection is limited in dozens of seconds. This paper focuses on sensing optimization problem for multi-station assembly processes. We propose a novel data-driven sensing optimization approach based on in situ quality inspection data, for the purpose of improving variation detection of subsequent assemblies. Based on the dimensional inspection datasets, a mutual information-based model is proposed to measure the correlation relationships among components, intermediate subassemblies and final products. An objective function considering the maximum relevance and the minimum redundancy is developed, and then an optimization algorithm is applied to obtain the optimal sensors. A case study in auto body assembly process is used to show the performance of the proposed method.
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Cirilo, Elder, Ingrid Nunes, Uirá Kulesza, Camila Nunes, and Carlos Lucena. "Automatic product derivation of multi-agent systems product lines." In the 2009 ACM symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1529282.1529435.

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Nunes, Ingrid, Uirá Kulesza, Camila Nunes, Elder Cirilo, and Carlos Lucena. "Extending PASSI to model multi-agent systems product lines." In the 2009 ACM symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1529282.1529434.

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Bolen, Rachel, and Mark Archibald. "Experimental Determination of the Efficiency of a Multi-Speed Bicycle Transmission." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70880.

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The efficiencies of gears in a multi-speed bicycle gearbox transmission were measured and efforts were taken to establish measurement repeatability. Data collected from this apparatus challenges manufacturers to improve their product lines. Given that cyclists are limited in their ability to sustain power supplied through pedaling, minimizing drivetrain losses is very important. Previous researchers have measured various bicycle drives, including chains and belts, multi-speed derailleur sets and multi-speed hub gear transmissions. This study continued to measure the efficiency of a Pinion P1.12 multi-speed crank transmission. Repeatability studies were performed using a custom apparatus, capable of providing a wide range of input speed, output power and configuration adjustments and the experiment procedure was adjusted accordingly. Efficiency was evaluated as the ratio of flywheel power to motor power over fourteen combinations of crank speed and output power for each gear. The means and 95% confidence intervals for these efficiencies were calculated, and a nonlinear regression was used to model the data as an exponential function of output torque. The mean of the means was calculated and fit with an exponential curve. Gear efficiency was determined to be the efficiency at infinite output torque, although this theoretical value is only approached at moderate cycling torques. Results indicate these transmissions are comparable to many modern multispeed geared bicycle hubs, ranging from 91.6–94.95%. Single-speed and derailleur systems can obtain higher efficiencies. However, the Pinion transmission provides enhanced reliability, reduced maintenance and relocates the majority of the drive weight to the middle of the bicycle. A repeatability study was conducted on the P1.12 transmission.
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Ciotti, Marco, Jorge L. Manzano, Vladimir Kuznetsov, Galina Fesenko, Luisa Ferroni, and Fabio Giannetti. "Scenario Analysis on the Benefits of Multi-National Cooperation for the Development of a Common Nuclear Energy System Based on PWR and LFR Fleets." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-31012.

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Financial aspects, environmental concerns and non-favorable public opinion are strongly conditioning the deployment of new Nuclear Energy Systems across Europe. Nevertheless, new possibilities are emerging to render competitive electricity from Nuclear Power Plants (NPPs) owing to two factors: the first one, which is the fast growth of High Voltage lines interconnecting the European countries’ national electrical grids, this process being triggered by huge increase of the installed intermittent renewable electricity sources (Wind and PV); and the second one, determined by the carbon-free constraints imposed on the base load electricity generation. The countries that due to public opinion pressure can’t build new NPPs on their territory may find it profitable to produce base load nuclear electricity abroad, even at long distances, in order to comply with the European dispositions on the limitation of the CO2 emissions. In this study the benefits from operating at multinational level with the deployment of a fleet of PWRs and subsequently, at a proper time, the one of Lead Fast Reactors (LFRs) are analyzed. The analysis performed involves Italy (a country with a current moratorium on nuclear power on spite that its biggest utility operates NPPs abroad), and the countries from South East and Central East Europe potentially looking for introduction or expansion of their nuclear power programmes. According to the predicted evolution of their Gross Domestic Product (GDP) a forecast of the electricity consumption evolution for the present century is derived with the assumption that a certain fraction of it will be covered by nuclear electricity. In this context, evaluated are material balances for the front and the back end of nuclear fuel cycle associated with the installed nuclear capacity. A key element of the analysis is the particular type of LFR assumed in the scenario, characterized by having a fuel cycle where only fission products and the reprocessing losses are sent for disposition and natural or depleted uranium is added to fuel in each reprocessing cycle. Such LFR could be referred to as “adiabatic reactor”. Owing to introduction of such reactors a substantive reduction in uranium consumption and final disposal requirements can be achieved. Finally, the impacts of the LFR and the economy of scale in nuclear fuel cycle on the Levelized Cost of Electricity (LCOE) are being evaluated, for scaling up from a national to a multinational dimension, illustrating the benefits potentially achievable through cooperation among countries.
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Mendonça, Willian D. F., Wesley K. G. Assunção, and Lukas Linsbauer. "Multi-objective optimization for reverse engineering of apo-games feature models." In SPLC '18: 22nd International Systems and Software Product Line Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3233027.3236397.

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Reports on the topic "Multi-agent systems Product Lines engineering"

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Wilson, Thomas E., Avraham A. Levy, and Tzvi Tzfira. Controlling Early Stages of DNA Repair for Gene-targeting Enhancement in Plants. United States Department of Agriculture, March 2012. http://dx.doi.org/10.32747/2012.7697124.bard.

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Gene targeting (GT) is a much needed technology as a tool for plant research and for the precise engineering of crop species. Recent advances in this field have shown that the presence of a DNA double-strand break (DSB) in a genomic locus is critical for the integration of an exogenous DNA molecule introduced into this locus. This integration can occur via either non-homologous end joining (NHEJ) into the break or homologous recombination (HR) between the broken genomic DNA and the introduced vector. A bottleneck for DNA integration via HR is the machinery responsible for homology search and strand invasion. Important proteins in this pathway are Rad51, Rad52 and Rad54. We proposed to combine our respective expertise: on the US side, in the design of zincfinger nucleases (ZFNs) for the induction of DNA DSBs at any desired genomic locus and in the integration of DNA molecules via NHEJ; and on the Israeli side in the HR events, downstream of the DSB, that lead to homology search and strand invasion. We sought to test three major pathways of targeted DNA integration: (i) integration by NHEJ into DSBs induced at desired sites by specially designed ZFNs; (ii) integration into DSBs induced at desired sites combined with the use of Rad51, Rad52 and Rad54 proteins to maximize the chances for efficient and precise HR-mediated vector insertion; (iii) stimulation of HR by Rad51, Rad52 and Rad54 in the absence of DSB induction. We also proposed to study the formation of dsT-DNA molecules during the transformation of plant cells. dsT-DNA molecules are an important substrate for HR and NHEJ-mediatedGT, yet the mode of their formation from single stranded T-DNA molecules is still obscure. In addition we sought to develop a system for assembly of multi-transgene binary vectors by using ZFNs. The latter may facilitate the production of binary vectors that may be ready for genome editing in transgenic plants. ZFNs were proposed for the induction of DSBs in genomic targets, namely, the FtsH2 gene whose loss of function can easily be identified in somatic tissues as white sectors, and the Cruciferin locus whose targeting by a GFP or RFP reporter vectors can give rise to fluorescent seeds. ZFNs were also proposed for the induction of DSBs in artificial targets and for assembly of multi-gene vectors. We finally sought to address two important cell types in terms of relevance to plant transformation, namely GT of germinal (egg) cells by floral dipping, and GT in somatic cells by root and leave transformation. To be successful, we made use of novel optimized expression cassettes that enable coexpression of all of the genes of interest (ZFNs and Rad genes) in the right tissues (egg or root cells) at the right time, namely when the GT vector is delivered into the cells. Methods were proposed for investigating the complementation of T-strands to dsDNA molecules in living plant cells. During the course of this research, we (i) designed, assembled and tested, in vitro, a pair of new ZFNs capable of targeting the Cruciferin gene, (ii) produced transgenic plants which expresses for ZFN monomers for targeting of the FtsH2 gene. Expression of these enzymes is controlled by constitutive or heat shock induced promoters, (iii) produced a large population of transgenic Arabidopsis lines in which mutated mGUS gene was incorporated into different genomic locations, (iv) designed a system for egg-cell-specific expression of ZFNs and RAD genes and initiate GT experiments, (v) demonstrated that we can achieve NHEJ-mediated gene replacement in plant cells (vi) developed a system for ZFN and homing endonuclease-mediated assembly of multigene plant transformation vectors and (vii) explored the mechanism of dsTDNA formation in plant cells. This work has substantially advanced our understanding of the mechanisms of DNA integration into plants and furthered the development of important new tools for GT in plants.
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